研究目的
To develop a model for the Cirrus HD-OCT that allows for the comparison of retinal nerve fiber layer (RNFL) thickness measurements with dissimilar signal strengths (SS) and accounts for test–retest variability.
研究成果
The developed model adjusts RNFL readings based on signal strength and includes an upper tolerance limit, potentially improving the detection of real RNFL changes in glaucoma monitoring if validated in future studies.
研究不足
The model has not been validated; it was developed only in healthy nonglaucomatous eyes, and the study measured intravisit repeatability, not intervisit reproducibility. The relationship between SS and RNFL may differ in glaucoma patients.
1:Experimental Design and Method Selection:
The study used a single-encounter design with healthy subjects to obtain RNFL scans using the Cirrus HD-OCT with artificially degraded signal strengths via diffusion lens filters. A linear regression model was employed to establish the relationship between RNFL thickness and SS, and statistical methods including ICC, CV, repeatability, and tolerance limits were calculated.
2:Sample Selection and Data Sources:
Healthy adult subjects (n=27, 54 eyes) were recruited, excluding those with ophthalmic diseases or poor visual acuity. Data were collected from RNFL scans.
3:List of Experimental Equipment and Materials:
Cirrus HD 4000-6462 OCT (version
4:96), Tiffen Soft FX diffusion lens filters of densities ?, 1, 2, 3, and 4 with Light Loss:
0 f:stop.
5:Experimental Procedures and Operational Workflow:
Baseline scans at SS 9 or 10 were taken, followed by scans at lower SS groups (7-8, 5-6, 3-4) using filters. Five scans per SS group were obtained with repositioning between scans. Scans with artifacts or SS <3 were discarded.
6:Data Analysis Methods:
Statistical analysis was performed using Stata (version 12). Linear regression was used to derive the adjustment equation. ICC, CV, Sw, repeatability, and tolerance limits were calculated.
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